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Open AccessArticle

On the Assessment of Non-Local Multi-Looking in Detection of Persistent Scatterers Using SAR Tomography

Department of Earth Observation Science (EOS), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The Netherlands
Remote Sens. 2020, 12(19), 3195; https://doi.org/10.3390/rs12193195
Received: 9 August 2020 / Revised: 24 September 2020 / Accepted: 28 September 2020 / Published: 30 September 2020
Synthetic aperture radar (SAR) tomography has shown great potential in multi-dimensional monitoring of urban infrastructures and detection of their possible slow deformations. Along this line, undeniable improvements in SAR tomography (TomoSAR) detection framework of multiple permanent scatterers (PSs) have been observed by the use of a multi-looking operation that is the necessity for data’s covariance matrix estimation. This paper attempts to further analyze the impact of a robust multi-looking operation in TomoSAR PS detection framework and assess the challenging issues that exist in the estimation of the covariance matrix of large stack data obtained from long interferometric time series acquisition. The analyses evaluate the performance of non-local covariance matrix estimation approaches in PS detection framework using the super-resolution multi-looked Generalized Likelihood Ratio Test (GLRT). Experimental results of multi-looking impact assessment are provided using two datasets acquired by COSMO-SkyMED (CSK) and TerraSAR-X (TSX) over Tehran, Iran, and Toulouse, France, respectively. The results highlight that non-local estimation of the sample covariance matrix allows revealing the presence of the scatterers, that may not be detectable using the conventional local-based framework. View Full-Text
Keywords: synthetic aperture radar tomography; covariance matrix of big data; multi-look GLRT; PS detection synthetic aperture radar tomography; covariance matrix of big data; multi-look GLRT; PS detection
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MDPI and ACS Style

Aghababaei, H. On the Assessment of Non-Local Multi-Looking in Detection of Persistent Scatterers Using SAR Tomography. Remote Sens. 2020, 12, 3195.

AMA Style

Aghababaei H. On the Assessment of Non-Local Multi-Looking in Detection of Persistent Scatterers Using SAR Tomography. Remote Sensing. 2020; 12(19):3195.

Chicago/Turabian Style

Aghababaei, Hossein. 2020. "On the Assessment of Non-Local Multi-Looking in Detection of Persistent Scatterers Using SAR Tomography" Remote Sens. 12, no. 19: 3195.

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